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Don't Just Expect More AI In 2025—Expect Better AI, Fueled By Real-Time Data

Feb 04, 2025 - forbes.com
The article discusses the anticipated trends in data streaming and AI for 2025, emphasizing the shift towards a "streaming data-first" approach. This shift is expected to transform how applications and AI architectures are designed and deployed, with businesses increasingly relying on real-time data to enhance customer interactions and enable cross-domain data sharing. Traditional communication models will be replaced by asynchronous streaming architectures, facilitating automation and collaboration across business domains. The value of real-time data will grow, with enterprises looking to monetize it through internal and external sharing.

Additionally, the article highlights the impact of geopolitics and regulatory environments on cloud adoption and AI strategies. Businesses will need to adopt hybrid cloud strategies, edge computing, and open-source technologies to remain agile and responsive to regulatory changes. Hyper-personalization will drive businesses to leverage real-time data streams to meet consumer demands, unlocking new levels of automation and innovation. IT leaders are encouraged to focus on building strong foundations for long-term success rather than rushing to adopt new technologies.

Key takeaways:

  • The streaming-first approach will grow with AI, shifting how applications and AI architectures are designed and interconnected across business domains.
  • Real-time data streaming will enable cross-domain and company data sharing, solving disconnection issues and emphasizing collaboration and innovation.
  • Geopolitics and the regulatory environment will significantly influence cloud adoption and AI strategy, necessitating flexible and adaptive strategies.
  • Hyper-personalization will accelerate hyper-connected business, with real-time data streams unlocking isolated AI, analytics, and software architectures.
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